Cloud Infrastructure Engineer; Azure & AWS; _W_Texas

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Cloud Infrastructure Engineer position focusing on Azure and AWS with emphasis on engineering, automation, and secure design of cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).

• Knowledge and experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
• Experience and understanding of cloud computing Dev Ops principles Continuous Integration/Continuous Design (CI/CD).
• Experience with containerization, deploying and configuring microservices.
• Kubernetes architecture deployment, scaling, and maintenance.
• Proficient automation skillset using a combination of command language scripting (Bash, Korn, Power Shell, Cloud CLI, Kubernetes Helm) and third-party tools.
• Experience with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
• Experience with cloud and performance monitoring, auditing logging, and operations tools such as:
  Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS Cloud Watch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
• Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans and protecting data for cloud disaster recovery.
• Knowledge and/or hands-on experience with cloud database services (Relational/No
  
  SQL and SQL/Oracle), data lakes and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
• Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, Data copy.
• Experience and understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy and IT information security controls.
• Effective written and oral communication.

• Minimum of 6+ years of experience in the areas listed above.
• Knowledge and experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
• Experience and understanding of cloud computing Dev Ops principles Continuous Integration/Continuous Design (CI/CD).
• Experience with Containerization, deploying and configuring microservices.
• Kubernetes architecture deployment, scaling, and maintenance.
• Proficient automation skillset using a combination of command language scripting (Bash, Korn, Power Shell, Cloud CLI, Kubernetes Helm) and third-party tools.
• Experience with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
• Experience with cloud and performance monitoring, auditing logging, and operations tools such as:
  Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS Cloud Watch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
• Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans and protecting data for cloud disaster recovery.
• Knowledge and/or hands-on experience with cloud database services (Relational/No
  
  SQL and SQL/Oracle), data lakes and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
• Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, Data copy.
• Understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy and IT information security controls.
• Effective written and oral communication.

• One or more Cloud certifications for Azure, AWS, Google or Oracle Certified Engineer, Cloud Certified Solutions Architect, Data Architect, Dev Ops Engineer and/or equivalent work experience.
• Experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Contract
• Job function:
  Information Technology
• Industries: IT Services and IT Consulting

Note:

This description excludes irrelevant postings and keeps only the information relevant to the role and requirements. EEO statements should be included as required by law and company policy.